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Glackin et al., 2011 - Google Patents

Receptive field optimisation and supervision of a fuzzy spiking neural network

Glackin et al., 2011

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Document ID
16959267801835110925
Author
Glackin C
Maguire L
McDaid L
Sayers H
Publication year
Publication venue
Neural Networks

External Links

Snippet

This paper presents a supervised training algorithm that implements fuzzy reasoning on a spiking neural network. Neuron selectivity is facilitated using receptive fields that enable individual neurons to be responsive to certain spike train firing rates and behave in a similar …
Continue reading at researchprofiles.herts.ac.uk (PDF) (other versions)

Classifications

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    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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